Title :
Both Minimum MSE and Maximum SNR Channel Training Designs for MIMO AF Multi-Relay Networks with Spatially Correlated Fading
Author :
Jae-Mo Kang ; Hyung-Myung Kim
Author_Institution :
Dept. of Electr. Eng., KAIST, Daejeon, South Korea
Abstract :
This letter proposes channel training designs for two-hop multi-relay networks, where a source, a destination and multiple amplify-and-forward (AF) relays are all equipped with multi-antenna, based on mean square error (MSE) and signal-to-noise ratio (SNR) criteria with taking into account spatial fading correlation between multiple-input multiple-output (MIMO) channel elements. The minimum MSE and maximum SNR channel estimators are initially derived and, then, optimal structures on source training signal and relay matrices are determined. An iterative and a closed-form power allocation solutions are proposed for both channel estimators. Simulation results show that the proposed schemes outperform the conventional schemes.
Keywords :
MIMO communication; amplify and forward communication; channel estimation; fading channels; iterative methods; mean square error methods; relay networks (telecommunication); MIMO channel elements; SNR criteria; amplify-and-forward relays; channel training designs; closed-form power allocation solutions; maximum SNR channel estimators; mean square error; minimum MSE channel estimators; multi-antenna; multiple-input multiple-output channel elements; relay matrices; signal-to-noise ratio criteria; source training signal; spatial fading correlation; two-hop multi-relay networks; Antennas; Channel estimation; MIMO; Relays; Signal to noise ratio; Training; Channel estimation; MIMO; MSE; SNR; multi-relay network; training design;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2015.2442587